python - sk-learn saved model to disk, but get only array -
when storing fitted_clf sk-learn classifier like:
joblib.dump(fitted_clf, some_path) most of time when loading memory like:
joblib.load(some_path) only array of array(['col1', 'col2], dtype=object) returned instead of loading fitted pipeline.
however, real pipeline, not understand why not consistent behavior.
edit
i think has different joblib verisions i.e. sklearn.externals import joblib works, when using regular joblib array
confirmed. using sklearn.externals import joblib fixing have consistent behavior.
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